Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Western Africa
Western Africa: Value Added Deflator (Agriculture, forestry and fishery) — Value US$ was -26.84 % change on previous year in 2024. ◆ Volatile
Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Western Africa, 1971–2024
Source: Statizoid (derived). Measured in % change on previous year.
Analysis
Western Africa recorded -26.84 % change on previous year for value added deflator (agriculture, forestry and fishery) — value us$ in 2024.
That represents a change of down 100.7% on the previous year and down 161,083.0% over ten years.
Over the whole period, value added deflator (agriculture, forestry and fishery) — value us$ in Western Africa peaked at 29.64 % change on previous year in 1975 and was at its lowest, -37.19 % change on previous year, in 1986.
That places Western Africa 24th out of 24 groups with data for 2024, putting it in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Western Africa, year by year
| Year | % change on previous year | Change |
|---|---|---|
| 1971 | 0.1572 % change on previous year | — |
| 1972 | 13.74 % change on previous year | +8642.8% |
| 1973 | 10.35 % change on previous year | -24.7% |
| 1974 | 22.57 % change on previous year | +118.0% |
| 1975 | 29.64 % change on previous year | +31.3% |
| 1976 | 12.11 % change on previous year | -59.1% |
| 1977 | 12.88 % change on previous year | +6.3% |
| 1978 | 16.36 % change on previous year | +27.0% |
| 1979 | 24.92 % change on previous year | +52.3% |
| 1980 | 18.25 % change on previous year | -26.8% |
| 1981 | -9.03 % change on previous year | -149.5% |
| 1982 | 5.87 % change on previous year | -165.0% |
| 1983 | 7.16 % change on previous year | +22.0% |
| 1984 | 15.7 % change on previous year | +119.3% |
| 1985 | -15.86 % change on previous year | -201.0% |
| 1986 | -37.19 % change on previous year | +134.4% |
| 1987 | -17.46 % change on previous year | -53.0% |
| 1988 | 10.22 % change on previous year | -158.5% |
| 1989 | -17.98 % change on previous year | -275.9% |
| 1990 | 7.38 % change on previous year | -141.0% |
| 1991 | -2.98 % change on previous year | -140.4% |
| 1992 | -6.82 % change on previous year | +129.0% |
| 1993 | 1.89 % change on previous year | -127.7% |
| 1994 | -16.51 % change on previous year | -974.3% |
| 1995 | 9.19 % change on previous year | -155.7% |
| 1996 | 4.06 % change on previous year | -55.8% |
| 1997 | -3.34 % change on previous year | -182.3% |
| 1998 | 0.77 % change on previous year | -123.0% |
| 1999 | -5.99 % change on previous year | -878.5% |
| 2000 | -13.77 % change on previous year | +129.7% |
| 2001 | 11.57 % change on previous year | -184.1% |
| 2002 | 20.03 % change on previous year | +73.0% |
| 2003 | 0.2798 % change on previous year | -98.6% |
| 2004 | 1.55 % change on previous year | +453.7% |
| 2005 | 12.29 % change on previous year | +693.2% |
| 2006 | 13.23 % change on previous year | +7.7% |
| 2007 | 9.91 % change on previous year | -25.1% |
| 2008 | 17.99 % change on previous year | +81.5% |
| 2009 | -11.22 % change on previous year | -162.4% |
| 2010 | 4.45 % change on previous year | -139.7% |
| 2011 | 3.67 % change on previous year | -17.6% |
| 2012 | 0.6137 % change on previous year | -83.3% |
| 2013 | 4.05 % change on previous year | +559.4% |
| 2014 | 0.0167 % change on previous year | -99.6% |
| 2015 | -12.26 % change on previous year | -73640.6% |
| 2016 | -13.52 % change on previous year | +10.3% |
| 2017 | -6.98 % change on previous year | -48.4% |
| 2018 | 9.07 % change on previous year | -229.8% |
| 2019 | 6.69 % change on previous year | -26.2% |
| 2020 | 0.1261 % change on previous year | -98.1% |
| 2021 | 0.7364 % change on previous year | +484.1% |
| 2022 | 2.69 % change on previous year | +264.8% |
| 2023 | -13.37 % change on previous year | -597.9% |
| 2024 | -26.84 % change on previous year | +100.7% |
Biggest year-on-year movements
Years where Value Added Deflator (Agriculture, forestry and fishery) — Value US$ in Western Africa changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2015 | -73640.6% | 0.0167 % change on previous year | -12.26 % change on previous year |
| 1972 | +8642.8% | 0.1572 % change on previous year | 13.74 % change on previous year |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 15.86 % change on previous year | 0.1572 % change on previous year | 29.64 % change on previous year | 9 |
| 1980s | -4.03 % change on previous year | -37.19 % change on previous year | 18.25 % change on previous year | 10 |
| 1990s | -1.24 % change on previous year | -16.51 % change on previous year | 9.19 % change on previous year | 10 |
| 2000s | 6.19 % change on previous year | -13.77 % change on previous year | 20.03 % change on previous year | 10 |
| 2010s | -0.4212 % change on previous year | -13.52 % change on previous year | 9.07 % change on previous year | 10 |
| 2020s | -7.33 % change on previous year | -26.84 % change on previous year | 2.69 % change on previous year | 5 |
Countries ranked near Western Africa
- 21 Egypt 15.37 % change on previous year compare
- 22 Sao Tome and Principe 15.05 % change on previous year compare
- 23 Jamaica 14.96 % change on previous year compare
- 24 Trinidad and Tobago 13.36 % change on previous year compare
- 25 Cook Islands 11.76 % change on previous year compare
- 26 Albania 11.51 % change on previous year compare
- 27 Colombia 11.18 % change on previous year compare
More environment data for Western Africa
- Historical exposure to drought — Land soil moisture anomaly -6.69 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -6.59 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Temperature change 1.37 °C (2025)
- Standard Deviation 0.311 °C (2025)
- Wood fuel — Production 221.11 million m3 (2024)
- Roundwood, coniferous — Production 51,000 m3 (2024)
- Wood fuel, coniferous — Production 0 m3 (2024)
- Wood fuel, non-coniferous — Production 221.11 million m3 (2024)
- Industrial roundwood — Production 20.68 million m3 (2024)
Frequently asked questions
- What is value added deflator (agriculture, forestry and fishery) — value us$ in Western Africa?
- Value added deflator (agriculture, forestry and fishery) — value us$ in Western Africa was -26.84 % change on previous year in 2024, according to Statizoid (derived).
- What is the highest value added deflator (agriculture, forestry and fishery) — value us$ recorded in Western Africa?
- The highest recorded value was 29.64 % change on previous year in 1975.
- What is the lowest value added deflator (agriculture, forestry and fishery) — value us$ recorded in Western Africa?
- The lowest recorded value was -37.19 % change on previous year in 1986.
- How does Western Africa rank for value added deflator (agriculture, forestry and fishery) — value us$?
- Western Africa ranks 24th out of 24 groups with data for 2024.
- Is value added deflator (agriculture, forestry and fishery) — value us$ rising or falling in Western Africa?
- Over the last ten years it is down 161,083.0%. The long-run trend across the full record is volatile.
- Where does this Western Africa data come from?
- The figures come from Statizoid (derived), published as part of Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices, annual growth rate. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 54 observations, free to reuse under Derived by Statizoid from the sources named on the page.
How this figure is calculated
The year-on-year percentage change in Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.
Computed from
- Value Added Deflator (Agriculture, forestry and fishery) — Value US$ Food and Agriculture Organization of the United Nations
Statizoid computes this series; the underlying measurements belong to the publishers named above. The arithmetic is applied to every country and year where both inputs report, and nothing is estimated unless the page says so.
About this data
The year-on-year percentage change in Value Added Deflator (Agriculture, forestry and fishery) — Value US$, 2015 prices. Computed from consecutive annual observations; years either side of a gap are skipped rather than bridged.